{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 第二次作业"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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FRKQpUqnrRuQEQwb3vT3Xex2LyO5Yi1m5qdgpLqtM7tI66ae6lKaub+FwmMrK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1ne1LXtt4fDDst6ce6/v/t1334bDj88m9ltwoTGxCdJkqQeM/nJ2ZAhQxg6dOg7z19//fV3kpth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\n0vILmXes/d7ltdPnL7d2HJ0+f9nquE+cv/K51o9L2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NVxE6bzkEsbm86PdbfjqBD9zbR9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\n8yMiIiIiIkNBnR8RERERERkKbwBkyC/fTqG3hgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1c6b07d9b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from matplotlib.ticker import MultipleLocator, FormatStrFormatter\n",
    "import matplotlib.dates as mdates\n",
    "\n",
    "df = pd.read_csv('OutOrder.csv', encoding='gbk')\n",
    "df[\"订单ID\"] = df[\"订单ID\"].astype(object)\n",
    "df['时间'] = pd.to_datetime(df['时间'])\n",
    "df['日期'] = df.apply(lambda row: row['时间'].date(), axis=1)\n",
    "df['年月'] = df.apply(lambda row: row['日期'].isoformat()[0:7], axis=1)\n",
    "df['小时'] = df.apply(lambda row: row['时间'].hour, axis=1)\n",
    "\n",
    "# 筛选排序\n",
    "# df2 = df[df['方式'].str.contains('网')].head().sort_values(by=['方式','日期'],ascending=[0,1]).ix[:,[2,4,1]]\n",
    "\n",
    "fig = plt.figure(figsize=(12, 12))\n",
    "\n",
    "ax0 = fig.add_subplot('221')\n",
    "ax1 = fig.add_subplot('222')\n",
    "ax2 = fig.add_subplot('223')\n",
    "ax3 = fig.add_subplot('224')\n",
    "\n",
    "# 不同支付方式的用户量分布图\n",
    "g_type_user = df.groupby('方式')['金额'].count().sort_values(ascending=False)\n",
    "explode = np.zeros(len(g_type_user.index))\n",
    "explode[0] = 0.05\n",
    "ax0.pie(g_type_user, autopct='%3.1f%%', labels=g_type_user.index, startangle=0, explode=explode)\n",
    "ax0.axis('equal')\n",
    "ax0.legend()\n",
    "ax0.set_title('不同支付方式的用户量分布图')\n",
    "\n",
    "# 不同支付方式的平均价格\n",
    "g_type_user = df.groupby('方式')['金额'].mean().sort_values(ascending=False)\n",
    "X = np.arange(len(g_type_user.index))\n",
    "Y = g_type_user.values\n",
    "ax1.bar(X, Y)\n",
    "ax1.set_xticks(X)\n",
    "ax1.set_xticklabels(g_type_user.index)\n",
    "for x, y in zip(X, Y):\n",
    "    ax1.text(x, y+1, '%.2f'%y, ha='center', va='bottom')\n",
    "ax1.set_ylim(0, 25)\n",
    "ax1.set_title('不同支付方式的平均价格')\n",
    "\n",
    "# 各月份用户量增长趋势\n",
    "g_ym_user = df.groupby('年月')['金额'].count().sort_index()\n",
    "X = np.arange(len(g_ym_user.index))\n",
    "Y = g_ym_user.values\n",
    "ax2.bar(X, Y)\n",
    "ax2.plot(X, Y,'r')\n",
    "ax2.plot(X, Y,'ro')\n",
    "ax2.set_xticks(X)\n",
    "ax2.set_xticklabels(g_ym_user.index)\n",
    "for x, y in zip(X, Y):\n",
    "    ax2.text(x, y+25, '%.2f'%y, ha='center', va='bottom')\n",
    "ax2.set_ylim(0, 300)\n",
    "ax2.set_title('各月份用户量增长趋势')\n",
    "\n",
    "# 每天用户量趋势分析\n",
    "group_date = df.groupby('日期')['金额'].count().sort_index()\n",
    "X = group_date.index\n",
    "Y = group_date.values\n",
    "ax3.bar(X,Y)\n",
    "ax3.xaxis.set_major_locator(mdates.MonthLocator())\n",
    "ax3.xaxis.set_major_formatter(mdates.DateFormatter(\"%Y-%m\"))\n",
    "ax3.set_title('每天用户量趋势分析')\n",
    "\n",
    "# 分时段用户数分析\n",
    "g_hour_user = df.groupby('小时')['金额'].count().sort_index()\n",
    "X_hour = g_hour_user.index\n",
    "Y_hour = g_hour_user.values\n",
    "\n",
    "g_date_user = df.groupby('日期')['金额'].count().sort_index()\n",
    "X_date = g_date_user.index\n",
    "Y_date = g_date_user.values\n",
    "\n",
    "left, bottom = 0.12, -0.5\n",
    "width, height = 0.8, 0.4\n",
    "left_h = left + width + 0.02\n",
    "bottom_h = bottom + height + 0.02\n",
    "\n",
    "rect_scatter = [left, bottom, width, height]\n",
    "rect_histx = [left, bottom_h, width, 0.1]\n",
    "rect_histy = [left_h, bottom, 0.1, height]\n",
    "\n",
    "axScatter = plt.axes(rect_scatter)\n",
    "axHistx = plt.axes(rect_histx)\n",
    "axHisty = plt.axes(rect_histy)\n",
    "\n",
    "axScatter.plot(df['日期'], df['小时'], 'o')\n",
    "axScatter.yaxis.set_major_locator(MultipleLocator(1))\n",
    "axScatter.set_ylim([0,24])\n",
    "axHistx.bar(X_date, Y_date)\n",
    "axHisty.barh(X_hour, Y_hour)\n",
    "axHistx.set_xlim(axScatter.get_xlim())\n",
    "axHistx.set_title('分时段用户数分析')\n",
    "axHisty.set_ylim(axScatter.get_ylim())\n",
    "axHisty.yaxis.set_major_locator(MultipleLocator(1))\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>方式</th>\n",
       "      <th>日期</th>\n",
       "      <th>金额</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>网银</td>\n",
       "      <td>2015-07-15</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>网银</td>\n",
       "      <td>2015-08-06</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>网银</td>\n",
       "      <td>2015-08-13</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>232</th>\n",
       "      <td>网银</td>\n",
       "      <td>2015-10-20</td>\n",
       "      <td>18.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>网易宝</td>\n",
       "      <td>2015-07-21</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      方式          日期    金额\n",
       "164   网银  2015-07-15  10.0\n",
       "101   网银  2015-08-06  15.0\n",
       "88    网银  2015-08-13  15.0\n",
       "232   网银  2015-10-20  18.0\n",
       "142  网易宝  2015-07-21  10.0"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "\n",
    "df = pd.read_csv('OutOrder.csv', encoding='gbk')\n",
    "df['订单ID'] = df['订单ID'].astype(object)\n",
    "df['时间'] = pd.to_datetime(df['时间'])\n",
    "df['日期'] = df.apply(lambda row: row['时间'].date(), axis=1)\n",
    "df['年月'] = df.apply(lambda row: row['日期'].isoformat()[0:7], axis=1)\n",
    "# df = df.sort_values('时间')\n",
    "# df2 = df.set_index('时间')\n",
    "# df2['20151001':'20151031'].head()\n",
    "df2 = df[df['方式'].str.contains('网')].head().sort_values(by=['方式','日期'],ascending=[0,1]).ix[:,[2,4,1]]\n",
    "df2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false,
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "6    232\n",
      "5    209\n",
      "3    205\n",
      "4    128\n",
      "2    107\n",
      "1     72\n",
      "Name: year-month-No, dtype: int64\n"
     ]
    },
    {
     "data": {
      "image/png": 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kY5KNmzdvHtFmJUnSYjGq0PGJJPskuT3wGOArUxeoqvVVtaaq1kxM2M9UkqSdzaiGQT8R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\nv0vnA2cC0+nxOMBjP6ffMNLr10Oto+jxGDBMreNp+RjQ9r9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      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e849950940>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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xOyK+VVr27YiYFRGfq2ZtkiRp4Kp2D8w5wC0ppalAY0RcAhRSStOA10TE5OqW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\nYCRJUnMMMJIkqTkGGEmS1Jz/H88SkaQSE1fRAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x1e84add8dd8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from datetime import datetime\n",
    "import os\n",
    "from matplotlib import pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "#设置美化格式\n",
    "# plt.style.use('bmh')\n",
    "\n",
    "#星期字典\n",
    "week_dict = {1:'星期一', 2:'星期二', 3:'星期三', 4:'星期四', 5:'星期五', 6:'星期六', 7:'星期日'}\n",
    "\n",
    "#将文件读到dataframe中\n",
    "def readOrders(file_name): \n",
    "    data = pd.read_csv(file_name, encoding='gbk')\n",
    "    #修改列名为英文\n",
    "    data = data.rename(columns={'订单ID': 'id', '金额': 'money','方式': 'channel','时间':'time'})\n",
    "\n",
    "    #从字符串得到日期类型\n",
    "    #时间格式(包括日期和时间)\n",
    "    time_str = '%m/%d/%Y %H:%M'\n",
    "    data['datetime'] = data.apply(lambda row: datetime.strptime(row['time'], time_str), axis=1)\n",
    "\n",
    "    #时间格式,只有时间\n",
    "    data['date'] = data.apply(lambda row: row['datetime'].date(), axis=1)\n",
    "\n",
    "    #月份，这个有问题，查了很久解决不了，目前只在2015年能用，不知道如何在2016年将年份区别开\n",
    "    #data['month'] = data.apply(lambda row: row['datetime'].month, axis=1)\n",
    "\n",
    "    #增加了老师提供的方法，将年和月作为index\n",
    "    data['year-month'] = data.apply(lambda row: row['datetime'].isoformat()[0:7], axis=1)\n",
    "    #print(data['year-month'])\n",
    "\n",
    "    #year-month排序后的序号，这样才能在bar中画图\n",
    "    #得到data['year-month']中的set\n",
    "    sorted_year_month_list = sorted(set(data['year-month'].tolist()), reverse=False)\n",
    "    #print(sorted_year_month_list)\n",
    "    #年-月组成的字符串排序后放入字典，以便后面使用\n",
    "    year_month_No_dict = {}\n",
    "    num = 1\n",
    "    for year_month in sorted_year_month_list:\n",
    "        year_month_No_dict[year_month] = num\n",
    "        num += 1\n",
    "    data['year-month-No'] = data.apply(lambda row: year_month_No_dict[row['year-month']], axis=1)\n",
    "\n",
    "    #增加星期列，数字\n",
    "    data['week_id'] = data.apply(lambda row: row['datetime'].weekday()+1, axis=1)\n",
    "    #增加星期列，名称\n",
    "    data['week_name'] = data.apply(lambda row: week_dict[row['week_id']], axis=1)\n",
    "\n",
    "    #小时，几点\n",
    "    data['hour'] = data.apply(lambda row: row['datetime'].hour, axis=1)\n",
    "\n",
    "    #返回结果按照时间排序\n",
    "    return data\n",
    "\n",
    "\n",
    "#用户分析\n",
    "def userAnalysis(data):\n",
    "\n",
    "    fig = plt.figure(figsize=(9,20))#figsize=(10,6)\n",
    "\n",
    "    #行, 列, 序号\n",
    "    ax0 = fig.add_subplot(311) \n",
    "    ax1 = fig.add_subplot(323)\n",
    "    ax2 = fig.add_subplot(324)\n",
    "    ax3 = fig.add_subplot(313)\n",
    "\n",
    "    #用户增长趋势分析，按天\n",
    "    N = 1 #设置分布宽度\n",
    "    date_list = data['date'].tolist()\n",
    "    #修改了上次的错误，用最大日期减去最小日期之间的天数+1作为bins的参数\n",
    "    ax0.hist(date_list, bins=int((max(date_list) - min(date_list)).days)+1, normed=0, histtype='bar', facecolor='g', alpha=1)\n",
    "    ax0.set_title('用户数量增长情况-按天')\n",
    "\n",
    "\n",
    "    #用户在星期上的分布\n",
    "    week_count = data['week_id'].value_counts()\n",
    "\n",
    "    ax1.bar(week_count.index.values.tolist(),week_count.values.tolist(),align=\"center\")\n",
    "    ax1.set_xticks(list(range(1,8)))\n",
    "    ax1.set_xticklabels(week_dict.values())\n",
    "    ax1.set_title('用户在星期上的分布')\n",
    "\n",
    "    #用户在月份上的分布\n",
    "    month_count = data['year-month-No'].value_counts()\n",
    "    print(month_count)\n",
    "    ax2.bar(month_count.index.values.tolist(),month_count.values.tolist(),align=\"center\")\n",
    "    ax2.set_xticks(range(min(data['year-month-No']), max(data['year-month-No'])+1))\n",
    "    ax2.set_xticklabels(sorted(set(data['year-month'].tolist()), reverse=False))\n",
    "\n",
    "    ax2.set_title('用户在月份上的分布')\n",
    "\n",
    "    #用户在每天时间段上的分布\n",
    "    hour_count = data['hour'].value_counts()\n",
    "    ax3.bar(hour_count.index.values.tolist(),hour_count.values.tolist())\n",
    "    ax3.set_xticks(list(range(0,24)))\n",
    "\n",
    "    data['year-month']\n",
    "    ax3.set_title('用户在一天内时间段的分布')\n",
    "\n",
    "\n",
    "    fig.subplots_adjust(hspace=0.7)\n",
    "    plt.show()\n",
    "\n",
    "\n",
    "#价格收入等分析\n",
    "def moneyAnalysis(data):\n",
    "    import matplotlib.cm as cm\n",
    "    import itertools\n",
    "\n",
    "    fig = plt.figure(figsize=(9,20))#figsize=(10,6)\n",
    "\n",
    "    #行, 列, 序号\n",
    "    ax0 = fig.add_subplot(211) \n",
    "    ax1 = fig.add_subplot(212)\n",
    "\n",
    "\n",
    "    #不同支付方式在不同时间的价格变化\n",
    "    channels = set(data['channel'].tolist())\n",
    "    #生成颜色列表\n",
    "    colors =   iter(cm.rainbow(np.linspace(0, 1, len(channels))))\n",
    "    for channel in channels:\n",
    "        date_list = data[data['channel']==channel]['datetime'].tolist()\n",
    "        money_list = data[data['channel']==channel]['money'].tolist()\n",
    "        ax0.scatter(date_list,money_list,label=channel,s=5,color=next(colors))\n",
    "    ax0.legend()\n",
    "    ax0.set_title('不同支付方式在不同时间的交易金额变化')\n",
    "    ax0.set_ylabel(u'金额  单位：元')\n",
    "    ax0.set_xlabel(u'时间')\n",
    "\n",
    "\n",
    "\n",
    "    #收入在月份上的变化\n",
    "    money_month = data.groupby('year-month-No').sum()['money']\n",
    "    #将money除以1000\n",
    "    monty_month_value = [x/10  for x in money_month.values.tolist()]\n",
    "    ax1.bar(money_month.index.values.tolist(),monty_month_value,facecolor='#9999ff',align=\"center\")\n",
    "\n",
    "    #用户在月份上的分布\n",
    "    month_count = data['year-month-No'].value_counts()\n",
    "    #将数据变为负数\n",
    "    neg_month_count = [-x for x in month_count.values.tolist()]\n",
    "    ax1.bar(month_count.index.values.tolist(),neg_month_count, facecolor='#ff9999',align=\"center\")\n",
    "    ax1.set_xticks(range(min(data['year-month-No']), max(data['year-month-No'])+1))\n",
    "    ax1.set_xticklabels(sorted(set(data['year-month'].tolist()), reverse=False))\n",
    "\n",
    "\n",
    "    ax1.set_title('每月收入 (上）以及用户在月份上的分布（下）')\n",
    "    ax1.set_ylabel(u'收入 单位： 十元； 用户单位：个')\n",
    "    ax1.set_xlabel(u'月份')\n",
    "\n",
    "\n",
    "    fig.subplots_adjust(hspace=0.7)\n",
    "    plt.show()\n",
    "\n",
    "if __name__ == '__main__':\n",
    "\n",
    "    data = readOrders('OutOrder.csv')\n",
    "    #用户分析\n",
    "    userAnalysis(data)\n",
    "    moneyAnalysis(data)"
   ]
  }
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